EDGE SENSE: Energy Decarbonization and GeoEngineering Survey Experiment for New Sampling and Mode Exploration, United States, 2023 (ICPSR 39284)
Version Date: Jul 15, 2025 View help for published
Principal Investigator(s): View help for Principal Investigator(s)
Rachael Shwom, Rutgers University;
Steven Brechin, Rutgers University;
Frederic Traylor, Rutgers University
https://doi.org/10.3886/ICPSR39284.v1
Version V1
Summary View help for Summary
EDGE SENSE is a project to test innovations in measuring public opinion on energy decarbonization and geoengineering (also known as climate engineering). By running five surveys in the same timeframe, researchers compared how survey mode and sampling might affect the measurement of public sentiments. The five samples were selected via address-based sampling (ABS), random-digit-dial (RDD), an opt-in panel, Amazon Mechanical Turk (MTurk), and a college classroom. The RDD sample was surveyed over the phone; the rest were surveyed online.
With these five samples, researchers measured two key items. The first is the prioritization of energy decarbonization options. Respondents were asked to rank six options:
- Solar farms
- Rooftop solar
- On-land wind turbines
- Offshore wind turbines
- Nuclear
- Fossil fuels with carbon capture and storage
The second phenomenon under study is how different online samples respond to an experiment providing information about climate engineering. (The RDD sample was not included in this.)
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Subject Terms View help for Subject Terms
Geographic Coverage View help for Geographic Coverage
Smallest Geographic Unit View help for Smallest Geographic Unit
Region
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Date of Collection View help for Date of Collection
Study Purpose View help for Study Purpose
The purpose of this study was to test innovations in measuring public opinion on energy decarbonization and geoengineering (also known as climate engineering).
Sample View help for Sample
Samplings included address-based sampling, random-digit-dial, opt-in survey panel, Amazon Mechanical Turk, and college classroom.
Time Method View help for Time Method
Universe View help for Universe
ABS, RDD, Opt-in, and MTurk Samples: Adult noninstitutionalized population of the United States living in households.
College Sample: College students in the United States.
Unit(s) of Observation View help for Unit(s) of Observation
Data Type(s) View help for Data Type(s)
Mode of Data Collection View help for Mode of Data Collection
Description of Variables View help for Description of Variables
This study includes variables asking respondents about their belief in climate change, their thoughts on different decarbonization options, and demographic variables such as gender, age, race, political party affiliation, and education level.
Response Rates View help for Response Rates
RDD Sample: 4%
ABS Sample:
- Recruitment Rate - 20.6%
- Retention Rate - 79.9%
- Survey Completion Rate - 23.6%
- Weighted Cumulative Response Rate - 3.9%
College Classroom: 90.7%
Opt-In and MTurk Samples: Not appropriate as there is no defined population.
HideOriginal Release Date View help for Original Release Date
2025-07-15
Version History View help for Version History
2025-07-15 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Created variable labels and/or value labels.
- Created online analysis version with question text.
- Performed recodes and/or calculated derived variables.
- Checked for undocumented or out-of-range codes.
Weight View help for Weight
The data contain the following weight variables: BASE_WEIGHTS, REGION_WEIGHTS, INCOME_WEIGHTS, PARTY_WEIGHTS, INTER_WEIGHTS, and ALL_WEIGHTS.
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These data are freely available to data users at ICPSR member institutions. The curation and dissemination of this study are provided by the institutional members of ICPSR. How do I access ICPSR data if I am not at a member institution?